A new outdoor garlic seedling dataset and adversarial augmentation policy learning improve detection AP50 to 91.6% and missing-seedling F1 to 67% under variable illumination.
CNCAN: Contrast and normal channel attention network for super-resolution image reconstruction of crops and weeds
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Learning Adversarial Augmentation Policies for Robust Garlic Seedling Detection
A new outdoor garlic seedling dataset and adversarial augmentation policy learning improve detection AP50 to 91.6% and missing-seedling F1 to 67% under variable illumination.